Alternatives to Neurolabs

Windocks provides on-demand Oracle, SQL Server, as well as other databases that can be customized for Dev, Test, Reporting, ML, DevOps, and DevOps. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Databases can be delivered to conventional instances, Kubernetes or Docker containers. Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. When combined with Docker containers, enterprises often see a 5:1 reduction of lower-level database VMs.

Amazon Rekognition allows you to easily add image and video analysis into your applications using proven, highly-scalable, deep learning technology that does not require any machine learning expertise. Amazon Rekognition allows you to identify objects, people and text in images and videos. It also detects inappropriate content. Amazon Rekognition can also be used to perform facial analysis and facial searches. This is useful for many purposes, including user verification, people counting, public safety, and other uses. Amazon Rekognition Custom Labels allow you to identify objects and scenes in images that meet your business requirements. You can create a model to help you classify machine parts or detect plants that are sick. Amazon Rekognition Custom Labels does all the heavy lifting for you.

Mask, generate, subset, virtualize, and automate your test data with the DATPROF Test Data Management Suite. Our solution helps managing Personally Identifiable Information and/or too large databases. Long waiting times for test data refreshes are a thing of the past.

When capturing data in real-life situations is difficult, we create diverse, fully-labeled image datasets. Our procedural technology provides the highest-quality, unbiased, and labeled synthetic datasets to improve your computer vision model. AI Verse gives users full control over scene parameters. This allows you to fine-tune environments for unlimited image creation, giving you a competitive edge in computer vision development.

KopiKat, a revolutionary tool for data augmentation, improves the accuracy and efficiency of AI models by modifying the network architecture. KopiKat goes beyond the standard methods of data enhancement by creating a photorealistic copy while preserving all data annotations. You can change the original image's environment, such as the weather, seasons, lighting, etc. The result is an extremely rich model, whose quality and variety are superior to those created using traditional data augmentation methods.

SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry. SKY ENGINE AI is a Deep Learning environment for AI training in Virtual Reality with Sensors Physics Simulation & Fusion for any Computer Vision applications.

A platform for ML engineers that provides synthetic data to facilitate the development of better AI models. Simple APIs allow for the instant generation of photorealistic, well-labeled images. Cloud-based generation platform that is highly scalable delivers millions of perfectly labeled photos. On-demand data allows for new data-centric approaches to create more efficient models. A broader range of pixel-perfect labels, including segmentation maps and dense 2D/3D landmarks as well as depth maps, surface norms, depth maps, and more, is now available. You can quickly design, test, refine, and revise your products before you build hardware. To optimize your system, prototype different imaging modalities, camera placements, lens types, and other lens types. Your models will be less biased if there are misbalanced data sets. Privacy will still be protected. Equal representation across identities, facial attributes and poses, as well as lighting and camera settings. We have worked with top-notch customers in many different use cases.

For the perfect store, real-time shelf monitoring insights ShelfWatch accurately understands the environment where SKUs are marketed. It provides actionable insights, and creates a positive feedback loop that assists CPG companies in their flawless store execution. Image Recognition technology improves sales force productivity, provides insights into shelf conditions, and drives incremental sales. ShelfWatch provides a complete picture of the execution of your store by calculating different KPIs, which can be customized to suit your needs. ShelfWatch's mobile app captures images to provide analysis on product placement and visibility. Smart features include blur detection, angle alignment and eye-level alignment. Images can be clicked in any area without internet access and uploaded as soon as an internet connection is available. ShelfWatch integrates easily with multiple DMS and SFA apps.

Our proprietary labeling platform allows us to label your data with higher quality standards in order to meet the requirements of complex AI projects. Now you can create the products that your customers love.

A flexible and accurate platform for the generation of synthetic data. Create the data you require for your perception system within minutes. Design scenarios with infinite variations for your use case. Create your datasets on the cloud. Anyverse is a scalable software platform that allows you to train, validate or fine-tune a perception system. It offers unparalleled computing power to generate all of the data you require in a fraction the time and cost as compared to other real-world workflows. Anyverse is a modular platform which enables efficient scene creation and dataset production. Anyverse™, Studio is a standalone application with a graphical interface that manages All Anyverse functions including scenario definition, variability setting, asset behavior, dataset settings and inspection. Data is stored on the cloud and the Anyverse cloud is responsible for scene generation, simulation and rendering.

Create high-fidelity 3D environments and diverse synthetic data quickly and easily to improve model performance. Bifrost is the fastest and easiest way to create high-quality synthetic images to improve ML performance. By avoiding time-consuming and expensive real-world data collection, you can prototype and test up 30x faster. Generating data to account rare scenarios that are underrepresented in the real data will result in more balanced datasets. Manual annotation and labeling can be resource-intensive and prone to errors. Quickly and easily generate data that are pre-labeled, pixel-perfect. Real-world data can inherit biases from the conditions under which it was collected and generate data that solves for these instances.

Our AI-powered platform for data generation allows data analysts and machine-learning engineers to maximize their analytical data sets. Datomize allows users to create the exact analytical data they need by leveraging behavior extracted from existing data. With data that accurately reflects real-world scenarios and allows users to make better decisions, they can now get a more accurate picture of reality. Take advantage of your data to develop AI solutions that are state-of-the art. Datomize's AI powered, generative models create superior synthesized replicas by extracting behavior from your existing datasets. Advanced augmentation tools allow for unlimited resizing, while dynamic validation tools show the similarity of original and replicated data. Datomize's machine learning approach is data-centric and addresses the primary constraints of training high-performing ML model.

Our AI-driven, low-code automation platform is designed for you to achieve the best quality result in the shortest time possible. Our Natural Language Processing (NLP-powered solution) allows you to generate automation scripts in plain English and allows your coders focus on innovation. Our autonomous discovery and current tracking of changes ensures that your application is high quality throughout its lifecycle. Our autonomous healing capability reduces risk in dynamic development environments and delivers flawless updates by keeping automation up-to-date. All regulatory requirements are met and security risks eliminated by using AI-generated synthetic data to automate your business processes. Multiple tests can be run simultaneously, you can determine the test frequency, keep up with browser updates, and execute across platforms and operating systems.

OneView creates next-generation virtual synthetic datasets for ML algorithm training. We provide ready-to-use datasets for all objects in any environment, with a focus on satellite and aerial imagery. VSD is computer-generated, real-like imagery. It can be used to replace real imagery. It is a cost-effective, scalable, and highly accurate training material for ML algorithm. OneView bridges the gap between increasing availability of earth observation data, and the limited ability to use it for intelligence gathering. We provide the tools to improve data analysis and enable geospatial imagery to yield new and valuable insights. It doesn't matter if you have long-tail or rare objects, or if you don't have enough data. We can generate a dataset for every object. We can generate any environment. High-detailed, customized environment for model training.

Graymatics is a cognitive multimedia analytics platform that can transform images and videos into meaningful, granular data. We offer CCTV-based video analytics solutions that allow our clients to draw critical insights from their existing infrastructure. Graymatics, a pioneer in cognitive media processing, was founded in Silicon Valley in 2011. Graymatics is a pioneering cloud platform that allows automatic analysis and recognition for products in surveillance, telecom, media processing, media, media, retail, and eCommerce. We are currently based in Singapore. We are one of few companies that offer such detailed analysis and offer clients a unique set products. Expert in video analytics across all industries, i.e. Schools, law enforcement and workplaces. Highly optimized models that require minimal RAM and GPU.

Advanced technology and services that safely transform and enhance sensitive information into actionable insights can help drive innovation and open up new revenue streams. Mimic synthetic engine allows companies to safely synthesize data assets while protecting consumer privacy and maintaining statistical relevance. The synthetic data can be used to support internal initiatives such as analytics, machine-learning and AI, marketing, segmentation, and revenue generation through external data monetization. Mimic enables you to safely move statistically-relevant synthetic data to the cloud ecosystem of your choice to get the most out of your data. With the enhanced synthetic data in the cloud, you can do analytics, insights, product testing, third-party data sharing, and more. The data has been certified as being compliant with privacy and regulatory laws.

Overcome challenges when acquiring data to train AI and machine learning systems. Rendered.ai, a PaaS, is designed for data scientists and engineers. Create synthetic datasets to train and validate ML/AI. Experiment with scene content, sensor models, and post-processing. Catalogue and characterize real and synthetic datasets. Download or move data into your own cloud repositories to be processed and trained. Synthetic data can be used to boost innovation and productivity. Create custom pipelines for modeling diverse sensors and computer-vision inputs. Python sample code is available for free and can be customized to model SAR, RGB Satellite imagery, and other sensor types. Flexible licensing allows for almost unlimited content creation. Create labeled, high-performance computing content quickly in a hosted environment. No-code configuration allows data scientists and engineers to collaborate.

A self-service platform for synthetic data, with a focus on object and human data. The Datagen Platform gives you granular control over the data generation process. Analyzing your neural networks can help you understand what data is required to improve them. You can then easily generate the data that you need to train your network. Datagen is a powerful platform that can help you solve your problems. It allows you to generate high-quality, high-variety, domain-specific, simulated artificial data. Advanced capabilities include the ability to simulate dynamic people and objects within their context. Datagen gives CV teams unprecedented flexibility to control visual outcomes in a variety of 3D environments.

The MDClone ADAMS Platform provides a powerful self-service data analysis environment that enables collaboration, research and innovation in healthcare. Our pioneering platform allows you to access insights in real-time and securely. It also allows you to explore healthcare data in a dynamic, real-time manner. Put your organization on a path of continuous learning to improve care, streamline your operations, promote research, and drive innovations, ultimately empowering your entire healthcare ecosystem. Synthetic data can be used to enable collaboration between teams, organizations and even third parties. This will allow them to dig deeper into the information that they need, when they need it. Life science organizations can identify promising cohorts of patients for post-marketing analyses by accessing real-world, internal data. Discover a fundamentally new approach to unlocking healthcare information for life sciences.

Share your production data securely with ML, data scientists, and analytics teams, while maintaining customer trust. Stop wasting time with regexes and free models. Private AI anonymizes 50+ entities PII PCI and PHI in 49 languages, with unmatched accuracy, across GDPR, CPRA and HIPAA. Synthetic data can be used to replace PII, PCI and PHI text in order to create model training data that looks exactly like production data. This will not compromise customer privacy. Remove PII in 10+ file formats such as PDFs, DOCXs, PNGs, and audios to protect customer data and comply privacy regulations. Private AI uses the most advanced transformer architectures for remarkable accuracy right out of the box. No third-party processing required. Our technology outperforms every other redaction service available on the market. Please feel free to request a copy of the evaluation toolkit for you to test with your own data.

Amazon SageMaker lets you identify raw data, such as images, text files and videos. You can also add descriptive labels to generate synthetic data and create high-quality training data sets to support your machine learning (ML). SageMaker has two options: Amazon SageMaker Ground Truth Plus or Amazon SageMaker Ground Truth. These options allow you to either use an expert workforce or create and manage your data labeling workflows. data labeling. SageMaker GroundTruth allows you to manage and create your data labeling workflows. SageMaker Ground Truth, a data labeling tool, makes data labeling simple. It also allows you to use human annotators via Amazon Mechanical Turk or third-party providers.

YouScan, a social media listening platform that uses image recognition technology, is powered by YouScan. It allows agencies and enterprises to instantly access customer conversations online. Users can seamlessly complete the most difficult tasks with ease thanks to smart alerts, trend detection, sentiment analysis and smart alerts. Major brands like L'Oreal and Nestle use YouScan to efficiently identify potential customers.

Make your own mobile app with image recognition technology. There are many interaction options.

OpenCV (Open Source Computer Vision Library), is an open-source machine learning and computer vision software library. OpenCV was created to provide a common infrastructure to support computer vision applications and accelerate machine perception in commercial products. OpenCV is a BSD-licensed product that makes it easy to modify and use the code by businesses. The library contains more than 2500 optimized algorithms. This includes a comprehensive set both of classic and modern computer vision and machine-learning algorithms. These algorithms can be used for recognizing faces, identifying objects, tracking camera movements, classifying human actions in videos and producing 3D point clouds from stereo-cameras. They can also be used to stitch images together to create a high resolution image of the entire scene, find similar images from a database, remove red eyes from images taken with flash, recognize scenery, and follow eye movements.

Get real-time shopper insights. Measurable customer satisfaction. Find out who your customers are. Our Face Analysis Technology empowers brick-and-mortar stores with anonymous shoppers' insights in real-time to optimize customer experiences and daily retail operations. Check out our recommendations. Smarter in-store experiences will increase customer satisfaction and engagement. We all want to increase customer engagement. A satisfied customer is a returning customer. Our software gives you real-time insight into your shoppers' demographic profile and interest. Know who your customers are and optimize everything, from shelf-level displays, to store layouts based on customer behavior. Are you reaching your target audience? These questions can be answered with our software.

Our modern AI-powered computer vision platform enables brick and mortar retailers to have autonomous checkout. Grab and go! Customers can simply walk in, grab what is needed, and then leave. Standard's AI-powered and computer vision-powered solution can be quickly and easily integrated into existing retailers' stores. Standard's technology represents a huge leap forward for retailers looking to implement autonomous checkout but don't want new stores. Standard does not use facial recognition or any other biometrics. All of our deployments are done on-premise to ensure maximum security and performance for customers and retailers. Standard's solution is camera first, without any turnstiles or gates. This means that customers and businesses are not disrupted by the installation. Standard believes that happy customers are the key to good retail.

Rank One Computing's 100% in-house automatic license plate recognition software offers unparalleled speed, accuracy and flexibility. Our cutting-edge ALPR can automatically read and recognise license plates from video or images captured by any device, even in challenging conditions such as low-light or high-motion images. With a system that can provide approximate matches even if the characters entered are incorrect or the system only captures a portion of them, you will get more comprehensive results. Automatically search for known vehicles by license plate in surveillance footage after an incident. Our license plate recognition technology has been trusted by technology leaders around the country, from law enforcement to commercial security to federal investigations.

NtechLab platform processes video, recognizes faces, bodies, actions, cars, and plate numbers. AI-powered technology allows for record breaking accuracy and speed of recognition. FindFace Multi's multi-object and analytic capabilities open up new possibilities for addressing public sector and business challenges. FindFace Multi recognizes faces, bodies, cars, license plates, and other information in live video streams or archives. You can search for faces, bodies, or vehicles in a database, or in an archive, using a photo sample or by specific features, such as age, clothing color, vehicle model, or gender. NtechLab developers continue to improve recognition algorithms, increasing their accuracy and performance. It takes less than a second for FindFace Multi to recognize a face in a stream of video and then search for it in a database that contains billions of images.

Sybrin AI is an integrated technology stack that combines machine learning, computer vision, and data science to intelligently automate business processes. Comprehensive framework for extracting data from non-traditional data sources such as documents, images, video, and videos. Real-time ID capture and extraction from any ID document anywhere in the world. Sybrin intelligent document capture allows you to integrate image capture, clean-up, recognition, data extraction, and data extraction into any application. To prevent spoof attacks and verify that the remote contact is real, active or passive liveness detection uses image processing techniques and neural network to detect if the person behind it is real. Sybrin Identity Verification validates that the person is real by matching their identity documents against a live selfie or third-party database.

Advanced image processing solution and real-time computer vision that uses advanced models of convolutional neuro networks. The product's top applications include building management, identity verification, fraud detection, manufacturing, and quality control. Winjit is a leading technology provider in India with more than ten years of experience in developing engineering solutions across all industries.

Inspired by you, driven by excellence. Eyeris' technology was created out of the needs of the caring parent, the late-night worker, and the aspiring entrepreneur. Our innovative technology is designed to make driving safer and more enjoyable for all drivers. In-Cabin cameras are used most often for driver and occupant monitoring. These cameras are used to interpret the interior scene using Eyeris AI Software. This allows you to gather data from different sensor types and interpret the scene with redundant information for high data accuracy. Hardware innovation is improving in order to run complex AI software in the fastest and most efficient manner. Our vision-based neural network provides the most rich source of information. Our pre-trained vision AI models are able to understand the entire interior space using the most recent image sensors and a wide range of lighting conditions.

Accelerate data processing tasks such as structuring, labeling and preprocessing. Manage all your data on a central platform that is easy to integrate. Increase data accessibility quickly with privacy-protected synthetic data and user friendly exchange platforms. The Aindo platform for synthetic data allows you to securely share data between departments, with external providers, partners and the artificial-intelligence community. Synthetic data exchange and collaboration can help you discover new synergies. Securely and openly acquire missing data. Your clients and stakeholders will appreciate the comfort and trust you provide. Aindo's synthetic data platform eliminates data inaccuracies, implicit bias and provides fair and complete insights. Enhance information to make databases resilient to special events. Balance datasets which misrepresent the true population to get a fair and accurate depiction. Fill in data gaps with precision and accuracy.

The Synthetic Data vault (SDV) was designed as a Python library that allows you to create tabular synthetic data. The SDV uses machine learning algorithms to emulate patterns in synthetic data. The SDV offers a variety of models, from classical statistical methods to deep learning methods. Create data for single tables or multiple connected tables. Compare the synthetic data with the real data using a variety measures. Diagnose problems and create a quality report for more insights. Control data processing to enhance the quality of synthetic information, choose different types of anonymization and define business rules as logical constraints. Use synthetic data to replace real data or as an enhancement. The SDV is a comprehensive ecosystem of synthetic data models, metrics, and benchmarks.

With automated data quality profiling, and synthetic data generation, adopting data-centric AI is easier than ever. We help data scientists unlock the full potential of data. YData Fabric enables users to easily manage and understand data assets, synthetic data, for fast data access and pipelines, for iterative, scalable and iterative flows. Better data and more reliable models delivered on a large scale. Automated data profiling to simplify and speed up exploratory data analysis. Upload and connect your datasets using an easy-to-configure interface. Synthetic data can be generated that mimics real data's statistical properties and behavior. By replacing real data with synthetic data, you can enhance your datasets and improve your models' efficiency. Pipelines can be used to refine and improve processes, consume data, clean it up, transform your data and improve its quality.

Statice is a data anonymization tool that draws on the most recent data privacy research. It processes sensitive data to create anonymous synthetic datasets that retain all the statistical properties of the original data. Statice's solution was designed for enterprise environments that are flexible and secure. It incorporates features that guarantee privacy and utility of data while maintaining usability.

Syntheticus®, a data exchange platform, overcomes limitations such as scarcity and bias in data, while enabling data exchange at scale. Our synthetic data platform allows you to generate high-quality, compliant data samples that are tailored to your business goals and analytics needs. Synthetic data allows you to tap into a variety of high-quality resources that aren't always available in real life. You can conduct more reliable research by using high-quality data that is consistent. This will lead to better products, business decisions, and services. You can accelerate product development cycles by having reliable, fast data at your fingertips. Synthetic data is designed as a private and secure data source by default. This protects sensitive data and maintains compliance with privacy laws.

Enterprise synthetic test data solutions. It is essential that test data accurately reflects the structure of your database or application. This means it must be easy for you to model and maintain each project. Respect the referential integrity of parent/child/sibling relations across data domains within an app database or across multiple databases used for multiple applications. Ensure consistency and integrity of synthetic attributes across applications, data sources, and targets. A customer name must match the same customer ID across multiple transactions simulated by real-time synthetic information generation. Customers need to quickly and accurately build their data model for a test project. GenRocket offers ten methods to set up your data model. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.

We combine data on people flow, emotions, and attention to analyze human behavior at the group and individual level. Our technology allows you decode complex human behavior and affective states in real-time using simple camera hardware. We offer both off-the shelf and custom solutions for a variety of industries. These solutions are developed and tested in collaboration with our clients and partners. Our algorithms can process any type video data, whether it is recorded video material, real-time inputs from industrial camera systems with high resolution or simple webcams.

We can no longer rely upon real-life conversations as physical customer interactions shift to digital. Customers communicate their intentions and share their needs using data. Data is a key tool for understanding customers and testing our assumptions. Privacy regulations like GDPR and CCPA make deep understanding more difficult. This gap in customer understanding is bridged by the MOSTLY AI synthetic dataset platform. Businesses can benefit from a reliable, high-quality generator of synthetic data in many different applications. The story doesn't end there. MOSTLY AI's synthetic dataset platform is more versatile than any other synthetic data generator. MOSTLY AI's versatility makes it an indispensable tool for software development and testing. From AI training to explainability and bias mitigation, governance to realistic test data, with subsetting, referential integrity.

Privacy engineering tools delivered as APIs. In minutes, you can synthesize and transform data. Trust your users and the community. Gretel's APIs allow you to instantly create anonymized or synthetic data sets so that you can safely work with data while protecting your privacy. Access to data must be faster in order to keep up with the development pace. Gretel's data privacy tools bypass blockers, and allow for Machine Learning and AI applications to access data faster. Gretel Cloud runners makes it easy to scale up your workloads to the cloud or keep your data safe by running Gretel containers within your own environment. Developers will find it much easier to train and create synthetic data using our cloud GPUs. Scale workloads instantly with no infrastructure required. Invite colleagues to collaborate on cloud projects, and share data between teams.

A holistic view of all aspects of your business can improve customer experience. Track the entire life cycle of a product, from the distribution center to the back, shelves, and bags to the shopper's hands. You can be flexible and organized in your retail intelligence wherever and whenever you need it. Customers, vendors, and associates are able to take action at the most important moments. Everseen's Visual AI™, Platform is a rapid Application Building tool that integrates existing systems, applications, sensors, and applies AI to identify previously unresolved and unmeasurable problems. Everseen Visual AI is a supply chain-wide solution that reduces shrinkage and increases perpetual inventory accuracy. Integration seamless to any camera, any device or system, any sensor on any cloud, at any edge, and any sensor on that cloud. Large-scale data, video and sensor pipelines. Visual AI™, Data powering human-centric designed AI expert system. Enterprise-wide problem mapping, linking.

MakerSuite simplifies this process. MakerSuite allows you to easily tune custom models, iterate on prompts and augment your data with synthetic data. MakerSuite allows you to export your prompts as code in your favorite languages, such as Python and Node.js, when you are ready to move on to code.

Sixpack is an automated data management platform that streamlines synthetic data for testing. Sixpack, unlike traditional test data generation methods, provides an unlimited supply of synthetic data to help testers and automated testing avoid conflicts and resource bottlenecks. It focuses on flexibility, enabling data allocation, pooling and instant generation, while maintaining data quality and privacy. The key features are the ease of setup, seamless integration with APIs, and the support for complex test environments. Sixpack integrates directly into QA processes so that teams can save time managing data dependencies and minimize data overlap. Its dashboard provides a clear view into active data sets. Testers can also allocate or pool data based on project needs.

CloudTDMS, your one stop for Test Data Management. Discover & Profile your Data, Define & Generate Test Data for all your team members : Architects, Developers, Testers, DevOPs, BAs, Data engineers, and more ... Benefit from CloudTDMS No-Code platform to define your data models and generate your synthetic data quickly in order to get faster return on your “Test Data Management” investments. CloudTDMS automates the process of creating test data for non-production purposes such as development, testing, training, upgrading or profiling. While at the same time ensuring compliance to regulatory and organisational policies & standards. CloudTDMS involves manufacturing and provisioning data for multiple testing environments by Synthetic Test Data Generation as well as Data Discovery & Profiling. CloudTDMS is a No-code platform for your Test Data Management, it provides you everything you need to make your data development & testing go super fast! Especially, CloudTDMS solves the following challenges : -Regulatory Compliance -Test Data Readiness -Data profiling -Automation

SightBit provides an AI-powered solution for enhancing safety and security around open water by "reading" the water using off-the-shelf video cameras. The company’s proprietary deep-learning AI models and computer vision technology enable capabilities including object detection and classification, drowning detection, hazard detection and prediction, object penetration detection and pollution detection. SightBit’s technology detects, monitors, and provides alerts regarding events such as rip currents, inshore holes and vortexes while simultaneously providing management capabilities. The company’s solution can easily be deployed without the need for sensors, edge processors, or customization. SightBit’s system sends real-time information to monitors in various control rooms, sounding alarms when people are in danger, notifies personnel when a security breach is taking place, and alerts to pollution spills in the water as well as provides immediate prediction to the pollution spread.

Synthesized can help you unlock the full potential of your data projects and AI. We automate all stages of data preparation and provisioning with cutting-edge AI. The platform synthesizes data without exposing personal information or causing compliance issues. Software to prepare and provide accurate synthetic data for building better models at scale. Synthesized solves the problem of data sharing for businesses. 40% of companies that invest in AI can't report business benefits. Our easy-to-use platform allows data scientists, product, and marketing teams to focus on revealing critical insight. Without representative data, testing data-driven applications can be difficult. This can lead to problems when services go live.

Create, transform, or analyze any text data within your spreadsheet. Automatically normalize addresses, separate column, extract entities, etc. Rewrite SEO content or blog posts. Generate product description variations. Create synthetic data such as first/last names and phone numbers. Create bullet-point summaries and rewrite content in fewer words. Sort product feedback into categories, prioritize sales leads, find new trends, etc. Charm provides several templates to help people complete common tasks faster. Use the Summarize With Bullet Points Template to create short bullet-point summaries for long content. Use the Translate Language Template to translate existing content in another language.

Yandex Vision OCR recognizes the text in an image, and outputs that text along with automatic punctuation. The service automatically identifies and supports more than 50 different languages. Extract standard fields and recognize the text in templates and other documents, such as passports, drivers' licenses, vehicle registration certificate, and license plates. Supports Russian and English as well as combinations handwritten and printed text. The service scans table structure and outputs the text in row and columns coordinates. OCR, document recognition and license plate number identification. Yandex Vision OCR supports JPEG, PNG and PDF formats. File sizes must not exceed 20 MB and contain no more than 300 sheets per file. The service can scan images to find passports from up to 20 countries, as well as driver's licences, vehicle registration documents and license plates.

dbForge Data Generator is a powerful GUI tool that populates Oracle schemas with realistic test data. The tool has an extensive collection 200+ predefined and customizeable data generators for different data types. It delivers flawless and fast data generation, including random number generation, in an easy-to-use interface. The latest version of Devart's product is always available on their official website.

Tonic automatically creates mock datasets that preserve key characteristics of secure data sets so that data scientists, developers, and salespeople can work efficiently without revealing their identities. Tonic creates safe, de-identified data from your production data. Tonic models your production data from your production data to help tell a similar story in your testing environments. Safe and useful data that is scaled to match your real-world data. Safely share data across businesses, teams, and borders to create data that is identical to your production data. PII/PHI identification and obfuscation. Protect your sensitive data by proactive protection with automatic scanning, alerts and de-identification. Advanced subsetting across diverse database types. Fully automated collaboration, compliance, and data workflows.